Created
August 23, 2018 01:40
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Update Database
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import sqlalchemy as db\n", | |
"import pandas as pd" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"engine = db.create_engine('sqlite:///test.sqlite')\n", | |
"metadata = db.MetaData()\n", | |
"connection = engine.connect()\n", | |
"emp = db.Table('emp', metadata, autoload=True, autoload_with=engine)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>Id</th>\n", | |
" <th>name</th>\n", | |
" <th>salary</th>\n", | |
" <th>active</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td>1</td>\n", | |
" <td>vinay</td>\n", | |
" <td>60000.0</td>\n", | |
" <td>True</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td>1</td>\n", | |
" <td>satvik</td>\n", | |
" <td>60000.0</td>\n", | |
" <td>True</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>1</td>\n", | |
" <td>naveen</td>\n", | |
" <td>60000.0</td>\n", | |
" <td>True</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>3</th>\n", | |
" <td>2</td>\n", | |
" <td>rahul</td>\n", | |
" <td>80000.0</td>\n", | |
" <td>False</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" Id name salary active\n", | |
"0 1 vinay 60000.0 True\n", | |
"1 1 satvik 60000.0 True\n", | |
"2 1 naveen 60000.0 True\n", | |
"3 2 rahul 80000.0 False" | |
] | |
}, | |
"execution_count": 8, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"results = connection.execute(db.select([emp])).fetchall()\n", | |
"df = pd.DataFrame(results)\n", | |
"df.columns = results[0].keys()\n", | |
"df.head(4)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# Build a statement to update the salary to 100000\n", | |
"query = db.update(emp).values(salary = 100000)\n", | |
"query = query.where(emp.columns.Id == 1)\n", | |
"results = connection.execute(query)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>Id</th>\n", | |
" <th>name</th>\n", | |
" <th>salary</th>\n", | |
" <th>active</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td>1</td>\n", | |
" <td>vinay</td>\n", | |
" <td>100000.0</td>\n", | |
" <td>True</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td>1</td>\n", | |
" <td>satvik</td>\n", | |
" <td>100000.0</td>\n", | |
" <td>True</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>1</td>\n", | |
" <td>naveen</td>\n", | |
" <td>100000.0</td>\n", | |
" <td>True</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>3</th>\n", | |
" <td>2</td>\n", | |
" <td>rahul</td>\n", | |
" <td>80000.0</td>\n", | |
" <td>False</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" Id name salary active\n", | |
"0 1 vinay 100000.0 True\n", | |
"1 1 satvik 100000.0 True\n", | |
"2 1 naveen 100000.0 True\n", | |
"3 2 rahul 80000.0 False" | |
] | |
}, | |
"execution_count": 13, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"results = connection.execute(db.select([emp])).fetchall()\n", | |
"df = pd.DataFrame(results)\n", | |
"df.columns = results[0].keys()\n", | |
"df.head(4)" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"language": "python", | |
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"file_extension": ".py", | |
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"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.6.5" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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